液体火箭发动机智能健康监控技术研究进展  

Research Progress of Intelligent Health Monitoring Technology for Liquid-Propellant Rocket Engines

作　　者：吴建军[1] 朱晓彬 程玉强[1] 崔孟瑜 WU Jian-jun;ZHU Xiao-bin;CHENG Yu-qiang;CUI Meng-yu(College of Aerospace Science and Engineering,National University of Defense Technology,Changsha 410073,China)

机构地区：[1]国防科技大学空天科学学院,湖南长沙410073

出　　处：《推进技术》2022年第1期1-13,共13页Journal of Propulsion Technology

基　　金：国家自然科学基金(51206181);国防科技大学科研计划项目(ZK18-03-55)。

摘　　要：健康监控技术作为改进和提高液体火箭发动机安全性与可靠性的核心关键技术,近年来其智能化发展的趋势十分明显。本文简要回顾了液体火箭发动机健康监控技术的发展历程,重点围绕基于传统人工智能的方法和基于深度学习的方法两个方面,对智能故障检测与诊断方法进行了系统的介绍。进一步阐述了健康监控系统在方案设计和实际应用等方面的研究现状,以及智能健康监控系统的发展情况,最后对健康监控技术的发展趋势进行了分析和展望。Taken as the core and key technology for improving and enhancing the reliability and security of liquid-propellant rocket engines,health monitoring technology has a significant trend of intelligent development in recent years.In this paper,a brief history of health monitoring technology has been summarized firstly.After that,intelligent fault detection and diagnosis methods are systematically introduced focusing on the methods based on traditional artificial intelligence and deep learning.The research status of health monitoring system in schematic design and practical application is further elaborated,and the development of intelligent health monitoring system is introduced on this basis.Finally,some suggestions and prospects are given on the development trend of health monitoring technology.

关 键 词：液体火箭发动机 故障检测与诊断 健康监控 人工智能 系统 

分 类 号：V434[航空宇航科学与技术—航空宇航推进理论与工程]